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updated 1 month ago

Multivariate Polynomial Regression by Ahmet Cecen

Performs polynomial regression on multidimensional data. (polynomial regression, statistics, multivariable regress...)

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updated 2 months ago

Linear Deming Regression by James Hall

deming perfoms a linear Deming regression. Useful when errors are present in both x and y variables. (linear regression, regression, orthogonal regression)

deming(x,y,lambda,alpha)

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updated 4 months ago

Linear Regression with Multiple Variables by Jason Joseph Rebello

Linear regression (housing prices, linear regression, multiple variables)

NormalEquation(XNormEqn,y)

cost(X,y,theta)

featureNormalize(X)

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updated 4 months ago

Bayesian robust regression mixture model by Gabriel Agamennoni

MatLab object for clustering real-valued input-output data with noise and outliers (clustering, linear regression, bayesian models)

brrmmtest()

(ConstructOnLoad) brrmm %#ok

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updated 7 months ago

polyfitn by John D'Errico

Polynomial modeling in 1 or n dimensions (polyfit, modeling, regression)

polyfitn_demo

polydern(p,diffvar)

polyfitn(indepvar,depvar,modelterms)

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updated 8 months ago

bootgmregresspi by Antonio Trujillo-Ortiz

Bootstrap Interval Prediction of a Single Value for a Geometric Mean Regression (RMA). (bootstrap, geometric mean regres..., linear regression)

bootgmregresspi.m

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updated 8 months ago

gmregresspi by Antonio Trujillo-Ortiz

Interval Prediction of a Single Value for a Geometric Mean Regression-Reduced Major Axis Regression. (predicted interval, geometric mean regres..., linear regression)

gmregresspi.m

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updated 8 months ago

gmregress by Antonio Trujillo-Ortiz

Geometric Mean Regression (Reduced Major Axis Regression). (linear regression, model ii, geometric mean regres...)

gmregress.m

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updated 9 months ago

Robust linear regression by Damien Garcia

RLINFIT(x,y) returns the coefficient estimates (slope and intercept) for a robust linear regression (linear regression, robust)

rlinfit(x,y,p)

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updated 12 months ago

gapolyfitn by Richard Crozier

optimises the functional form of a multi-dimensional polynomial fit to model data (optimization, linear regression, modelling)

GenerateNewTerm(vars, maxPower, poly, maxLoops)

HasTerm(p1, p2, newTerm, vars)

PolyFitScore(polyVec, polyStruct)

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updated 1 year ago

Linear Regression with Multiple Variables without regularization by Jason Rebello

Demo of Linear regression (statistics, demo, linear regression)

NormalEquation(XNormEqn,y)

cost(X,y,theta)

featureNormalize(X)

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updated 2 years ago

New Regression Capabilities in r2012a by Richard Willey

Example code to accompany the "New Regression Capabilities" presentation (linear regression, regression, nonlinear regression)

CurvesSurfaces.m

GLMs.m

Housing.m

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updated almost 3 years ago

Weighted and unweighted linear fit by Ebo

Fit data points with different standard deviations by weighting them. (weighted linear fit, weighted linear regre..., linear regression)

Results=weightedfit(data)

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updated almost 3 years ago

Theil–Sen estimator by Arnout Tilgenkamp

Robust regression for slope estimation between 1dimensional X and y (regression, slope, estimation)

Theil_Sen_Regress(x,y)

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updated almost 3 years ago

Fit GLM with quadratic penalty by Patrick Mineault

Fits GLM with a quadratic penalty, determines hyperparams through cross-validation or evidence (glm, generalized linear mo..., maximum a posteriori)

crossValidate(y,X,lambda0,fitfun,valfun,folds,opts)

cvglmfitqp(y,X,qf,folds,opts)

evalGlmLikelihood(y,X,w,b,family,familyextra,weights)

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updated 3 years ago

Optimization Tips and Tricks by John D'Errico

Tips and tricks for use of the optimization toolbox, linear and nonlinear regression. (optimization, examples, tutorial)

optimtips

[x,fval,exitflag,output]=fminsearchbnd(fun,x0,LB,UB,optio...

consolidator(x,y,aggregation_mode,tol)

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updated 3 years ago

bootgmregress by Antonio Trujillo-Ortiz

Bootstrap Geometric Mean Regression (Bootstrap Reduced MajorAxis Regression). (bootstrap, geometric mean regres..., linear regression)

bootgmregress.m

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updated 4 years ago

LSE by John D'Errico

A linear least squares solver, subject to linear equality constraints (least squares, regression, linear regression)

lse(A,b,C,d,solverflag,weights)

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updated 4 years ago

Hausdorff regression by Thomas Meinguet

Linear regression minimizing the Hausdorff between the line segment and the given set of points. (linear regression, hausdorff distance)

H=hausdorff(A,B,p),

[f,g]=objfunction(x)

Demo.m

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updated 4 years ago

maregress by Antonio Trujillo-Ortiz

Major Axis Regression (Principal Axis Regression). (linear regression, model ii, major axis)

maregress(x,y,alpha)

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updated 4 years ago

rmaregress by Antonio Trujillo-Ortiz

Ranged Major Axis Regression. (linear regression, model ii, ranged major axis)

rmaregress.m

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updated 4 years ago

Bartregress by Antonio Trujillo-Ortiz

Bartlett's Three Group Regression. (linear regression, model ii, bartletts three group...)

Bartregress.m

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updated 4 years ago

Linear Median Squared Error by Will Dwinnell

Linear median squared error function for linear functions (statistics, regression, linear regression)

LinearMedianSquaredError(B,X,Y)

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updated almost 5 years ago

Linear Regression with Errors in X and Y by Travis Wiens

Calculates slope and intercept for linear regression of data with errors in X and Y. (mathematics, measurement, statistics)

ellipse(Xc,Yc,dX,dY,N_p)

york_fit(X,Y,sigma_X,sigma_Y, r)

demo_york.m

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updated almost 5 years ago

Linear Regression by michael scheinfeild

linear regressing fit to line in the method of gradient descent for minimizing square error (linear regression, gradient descent, fitting line)

gradient_descent_opt(xi,yi,theta_st,nsteps,mindiff,learnr...

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updated almost 5 years ago

Passing and Bablok regression by Andrea Padoan

Passing & Bablok regression is a linear regression procedure usefull for comparing clinical methods (passing bablok regres..., statistics, methods comparison)

PassingBablok (x,y)

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updated 5 years ago

der.m v1.0 (Nov, 2009) by Carlos Adrian Vargas Aguilera

Estimates first derivative of an array by using POLYFIT locally on each point ignoring NaNs! (diff, gradient, derivative)

der(X,DT,W,DEG,PAD,DIM)

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updated 6 years ago

Legendre polynomial fitting by Siqing Wu

Fitting data using a linear combination of Legendre polynomials (legendre polynomials, linear regression, curve fitting)

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updated 6 years ago

Non-negative Garotte by Statovic

Implementation of Leo Breiman's non-negative garotte for linear regression (statistics, probability, regression)

[beta shrcf rss]=nng_garotte(X,y,s)

[beta,s,perror,se]=nng_finds(X,y,Options)

err=nng_kcv(X,y,nfolds,s)

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updated 7 years ago

Orthogonal Linear Regression by F. Carr

Fit data using orthogonal linear regression. (approximation, interpolation, linear regression)

linortfit2(xdata, ydata)

linortfitn(data)

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updated almost 10 years ago

Orthogonal Linear Regression by Per Sundqvist

Fits a line y=p0+p1*y to a dataset (xdata,ydata) in an orthogonal way. (approximation, interpolation, linear regression)

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updated 10 years ago

arsoswod by Antonio Trujillo-Ortiz

Comparision of simple linear regression equations without data. (statistics, probability, regression coefficien...)

arsoswod(X,alpha)

qtukey(v,k,p);

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